What are the environmental impacts of artificial intelligence? - The Equation - Union of Concerned Scientists
news.google.com·10h
🎚️Voice AI Systems
Not a Catalyst
andrej.xyz·8h
🌊Event Streaming
[Feedback Wanted] Container Platform Focused on Resource Efficiency, Simplicity, and Speed
reddit.com·21h·
Discuss: r/kubernetes
🧩Nomad
Comparing Rust, JavaScript and Go for Authoring WASM Components
obeli.sk·16h·
Discuss: Hacker News
🦋Tauri
Autonomous SRE: Revolutionizing Reliability with AI, Automation, and Chaos Engineering
dev.to·1d·
Discuss: DEV
📊Infrastructure Monitoring
Federated Learning from Molecules to Processes: A Perspective
arxiv.org·1d
🤝Federated Learning
PhysiX: A Foundation Model for Physics Simulations
arxiv.org·1d
🏗️AI Infrastructure
An All-Around Better Horse
patrickhebron.com·7h·
Discuss: Hacker News
🧩Low-code
Azure Fundamentals: Microsoft.TimeSeriesInsights
dev.to·1d·
Discuss: DEV
⏰Time-Series Analytics
STM32-Based IoT Framework for Real-Time Environmental Monitoring and Wireless Node Synchronization
arxiv.org·1d
💧Water Sensors
Beyond Observability: Network Intelligence Will Make Network Management Obsolete
kentik.com·1d·
Discuss: Hacker News
📡Edge Computing
Raspberry Pi Compute Module 5: Revolutionary Advancements in Embedded Computing
dev.to·18h·
Discuss: DEV
⚙Risc-v
Meta's V-JEPA 2 Aims to Redefine AI's Spatial Reasoning Without Video Data
gazeon.site·8h·
Discuss: Hacker News
🏗️AI Infrastructure
Supporting Deterministic Traffic on Standard NICs
arxiv.org·1d
🕸️Mesh Networks
PicoEMP: low-cost Electromagnetic Fault Injection (EMFI) tool
github.com·22h·
Discuss: Hacker News
🔌Microcontrollers
What LLMs Know About Their Users
schneier.com·14h·
Discuss: Hacker News
💻Local LLMs
AI Unleashed: Revolutionizing Development with No-Code/Low-Code Platforms
dev.to·17h·
Discuss: DEV
🧩Low-code
Stop Chasing “Efficiency AI.” The Real Value Is in “Opportunity AI.”
towardsdatascience.com·8h
🧠AI
DigitalOcean Fundamentals: API
dev.to·16h·
Discuss: DEV
📦Container Orchestration
Emotion Detection on User Front-Facing App Interfaces for Enhanced Schedule Optimization: A Machine Learning Approach
arxiv.org·21h
📈Time-series Monitoring